Static analysis to enable verification and transformation of data-intensive business applications

K. V. Raghavan
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Abstract

Programs that process data that reside in files are widely used in varied enterprise domains, such as banking, healthcare, and web-traffic analysis. Precise static analysis of these programs in the context of software transformation and verification tasks is a challenging problem. Our key insight is that static analysis of file- processing programs can be made more useful if knowledge of the input file formats of these programs is made available to the analysis. We instantiate this idea to solve two practical problems: specializing the code of a program to a given restricted input file format, and verifying if a program conforms to a given input file format. We then discuss an implementation of our approach, and also empirical results on a set of real and realistic programs. The results are very encouraging in the terms of both scalability as well as precision of the approach.
静态分析支持数据密集型业务应用程序的验证和转换
处理驻留在文件中的数据的程序广泛用于各种企业领域,例如银行、医疗保健和web流量分析。在软件转换和验证任务的背景下对这些程序进行精确的静态分析是一个具有挑战性的问题。我们的主要见解是,如果对这些程序的输入文件格式的了解可以用于分析,那么对文件处理程序的静态分析可以变得更有用。我们实例化这个想法是为了解决两个实际问题:将程序的代码专门化到给定的受限输入文件格式,以及验证程序是否符合给定的输入文件格式。然后,我们讨论了我们的方法的实施,以及一组真实和现实的方案的经验结果。在可伸缩性和方法的精确性方面,结果非常令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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